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test_vector_store_file_batches.py
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test_vector_store_file_batches.py
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import openai
import openai_responses
from openai_responses import OpenAIMock
@openai_responses.mock()
def test_create_vector_store_file_batch(openai_mock: OpenAIMock):
client = openai.Client(api_key="sk-fake123")
vector_store = client.beta.vector_stores.create(name="Support FAQ")
file = client.files.create(
file=open("examples/example.json", "rb"),
purpose="assistants",
)
vector_store_file_batch = client.beta.vector_stores.file_batches.create(
vector_store_id=vector_store.id,
file_ids=[file.id],
)
assert vector_store_file_batch.vector_store_id == vector_store.id
assert vector_store_file_batch.file_counts.completed == 1
assert openai_mock.files.create.route.call_count == 1
assert openai_mock.beta.vector_stores.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.create.route.call_count == 1
@openai_responses.mock()
def test_retrieve_vector_store_file_batch(openai_mock: OpenAIMock):
client = openai.Client(api_key="sk-fake123")
vector_store = client.beta.vector_stores.create(name="Support FAQ")
file = client.files.create(
file=open("examples/example.json", "rb"),
purpose="assistants",
)
vector_store_file_batch = client.beta.vector_stores.file_batches.create(
vector_store_id=vector_store.id,
file_ids=[file.id],
)
found = client.beta.vector_stores.file_batches.retrieve(
vector_store_file_batch.id, vector_store_id=vector_store.id
)
assert found.id == vector_store_file_batch.id
assert openai_mock.files.create.route.call_count == 1
assert openai_mock.beta.vector_stores.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.retrieve.route.call_count == 1
@openai_responses.mock()
def test_cancel_vector_store_file_batch(openai_mock: OpenAIMock):
client = openai.Client(api_key="sk-fake123")
vector_store = client.beta.vector_stores.create(name="Support FAQ")
file = client.files.create(
file=open("examples/example.json", "rb"),
purpose="assistants",
)
vector_store_file_batch = client.beta.vector_stores.file_batches.create(
vector_store_id=vector_store.id,
file_ids=[file.id],
)
cancelled = client.beta.vector_stores.file_batches.cancel(
vector_store_file_batch.id, vector_store_id=vector_store.id
)
assert cancelled.id == vector_store_file_batch.id
assert cancelled.status == "cancelled"
assert openai_mock.files.create.route.call_count == 1
assert openai_mock.beta.vector_stores.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.cancel.route.call_count == 1
@openai_responses.mock()
def test_list_files_for_vector_store_file_batch(openai_mock: OpenAIMock):
client = openai.Client(api_key="sk-fake123")
vector_store = client.beta.vector_stores.create(name="Support FAQ")
file = client.files.create(
file=open("examples/example.json", "rb"),
purpose="assistants",
)
vector_store_file_batch = client.beta.vector_stores.file_batches.create(
vector_store_id=vector_store.id,
file_ids=[file.id],
)
files = client.beta.vector_stores.file_batches.list_files(
vector_store_file_batch.id,
vector_store_id=vector_store.id,
)
assert len(files.data) == 1
assert openai_mock.files.create.route.call_count == 1
assert openai_mock.beta.vector_stores.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.create.route.call_count == 1
assert openai_mock.beta.vector_stores.file_batches.list_files.route.call_count == 1